SaglamScan - AI Nutrition Analyzer

SaglamScan is a web application that uses the power of Google's Gemini Vision AI to analyze nutrition labels from images. Users can upload a photo of a product's nutrition facts, and the app will extract the data, provide a simple A-F health grade, and offer a nutritional summary.

Core Features

• AI Data Extraction: Upload an image of a nutrition label to have its contents automatically read and parsed.
• Health Grading: Get an at-a-glance understanding of a product's healthiness with a simple A-F score.
• Product Comparison: Upload two labels to see a side-by-side comparison and an AI-generated recommendation.
• User Accounts & History: Sign up to save your scan history for future reference.
• Multilingual Support: The interface is available in both English and Azerbaijani.

Tech Stack

• Backend: Python with Flask
• AI Vision & Analysis: Google Gemini
• Database & Authentication: Google Firebase (Firestore & Auth)
• Hosting: Render.com
• Frontend: Jinja2 Templating, HTML, CSS, Vanilla JavaScript

Running Locally

1. Clone the repository:

   git clone https://github.com/Repla09/saglamscan-app.git
   cd saglamscan-app

2. Set up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:
   • Create a serviceAccountKey.json file for Firebase admin access.
   • Set the GEMINI_API_KEY and FIREBASE_WEB_API_KEY environment variables.
5. Run the application:

   flask run